Position is with the VA McLean Customer and requires an active TS/SCI with Full Scope Poly clearance.

Position is funded and vacant and the customer is looking to hire someone immediately!

The Systems/Data Engineer will manipulate data and data flows for both existing and new systems. Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems. As a member of the team, candidate will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.

QUALIFICATIONS

Bachelor’s degree in a related business or technical discipline, or the equivalent combination of education, technical training, or work/military experience

REQUIRED KNOWLEDGE/SKILLS

8 or more years of related software engineering and ETL experience

Demonstrated experience building and maintaining data flows in NiFi or Pentaho or Java

Experience with JavaScript (preferably Vue and/or Angular)

Excellent organizational, coordination, interpersonal and team building skills

DESIRED KNOWLEDGE/SKILLS

Demonstrated experience with the following languages: Java/J2EE, C, C , SQL, XML, XQuery, XPath, HTML/XHTML, CSS, Python, Shell Scripting, JSON, JavaScript (preferably Vue and Angular)

Demonstrated experience translating data insights into tools or analytic capabilities that inform operational decisions

and/or improve processes

Demonstrated experience with relational databases (ex - Oracle / MySql)

Demonstrated experience with GPU processing

Demonstrated experience with search architecture and data visualization tools (ex - ElasticSearch, OmniSci)

Demonstrated experience applying machine learning methodologies to build high-quality prediction models

Familiar with servers operating systems; Windows, Linux, Distributed Computing, Blade Centers, and cloud infrastructure

Familiar with database methodologies

Familiar with Source code management and integration (ex - GitHub/GitLab, Jenkins, RunDeck)

Familiar with Data Science frameworks such as Keras, Tensorflow, or Theano

Ability to work well in a fast-paced, constantly evolving work environment with a focus on continual process

improvement and a proactive approach to problem solving

KEY RESPONSIBILITIES

Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations,

databases, and maintenance of data and associated systems

Develop and manage complex data flows, or makes significant enhancements to existing pipelines

Troubleshoot complex problems and provide customer support for the ETL process

Resolve complex hardware/software compatibility and interface design considerations

Conduct investigations and tests of considerable complexity

Research emerging technologies to determine impact on application execution

Communicate clearly and effectively with teammates, customers, and external partners

Prepare written and verbal communications on analyses, findings, and project progress

Write and maintain technical documentation

Advise hardware engineers on machine characteristics that affect software systems, such as storage capacity,

processing speed, and input/output requirements

Provide guidance and work leadership to less-experienced engineers

May serve as a technical team or task leader